Rancang Bangun Meeting Managemet System Berbasis Mobile

Dalam sebuah instansi atau organisasi, manajemen informasi sangatlah penting, terutama ketika akan diadakan pertemuan dalam hal ini Rapat atau Meeting. Menjadwalkan sebuah rapat merupakan salah satu komponen tugas bagian Kantor Hubungan Masyarakat (HUMAS) dalam hal memberikan pelayanan administrasi dalam menyelenggarakan publikasi dan informasi baik internal maupun eksternal. Metode pengelolaan rapat yang digunakan sejauh ini masih menggunakan cara konvensional seperti penyampaian langsung atau berupa undangan tertulis kemudian disebar. Penyerahan surat undangan, SMS, atau telepon ini memiliki banyak kelemahan untuk itu masih diperlukan aplikasi yang memudahkan dalam penyebaran informasi tersebut. Dengan menerapkan Push notification dalam model data JSON API memiliki keunggulan yaitu pengguna tidak perlu melakukan request untuk mendapatkan informasi kegiatan yang ada. Informasi baru dari server Admin akan langsung dikirimkan kepada pegawai Universitas, dengan catatan bahwa perangkat Android bergerak harus dalam keadaan menyala dan terkoneksi dengan internet. Hasil yang diperoleh dalam penelitian ini, berupa aplikasi Android yang dapat menampilkan informasi daftar meeting, dan fitur notifikasi reminder bagi user yang akan selalu mengingatkan akan adanya meeting yang akan berlangsung berdasarkan inputan admin pada web app sebelumnya

A Context-Aware Model to Improve Usability of Information Display on Smartphone Apps for Emerging Users

Smartphones have become a reliable technology for accessing information and services in rural communities. Mobile applications, such as social media and news apps running on smartphones, are no longer exclusively utilised by users in developed communities. Mobile applications are accessed in highly contextualised environments. This paper discusses a context-aware model that was implemented to improve the usability of information presented on smartphone applications for emerging users. User evaluation was conducted within a remote area in South Africa with a sample of users, most of whom did not have prior experience in using computer applications. The results of the evaluation present empirical evidence that the model can improve the usefulness of mobile applications and their adoption in rural areas by emerging users who primarily rely on smartphones for accessing a variety of information sources and services. The findings can be utilised as a blueprint for implementing sustainable mobile interventions for emerging users

Using the Living Lab Approach to Develop and Adapt a Context-Aware ICT4D Solution

The rising use of mobile smartphones by people in rural areas of the developing world has resulted in increased deployment of information and communications technology for development (ICT4D) solutions targeted at empowering rural communities to overcome various socio-economic challenges. However, shortfalls in infrastructure, community buy-in, training, and management of ICT interventions are widely cited as impeding user acceptance and sustainability of potentially useful rural ICT4D interventions. This article outlines a deployment of the living lab approach to develop and adapt a mobile, web-based, e-procurement solution for small-scale retailers in Kgautswane, a remote rural area in South Africa’s Limpopo Province. The living lab approach is an open-innovation methodology for development of context-based sustainable ICT4D solutions.CA2016www.wits.ac.za/linkcentre/aji

A context-aware model to improve usability of information presented on mobile devices

Online information access on mobile devices is increasing as a result of the growth in the use of Internet-enabled handheld (or pocket-size) devices. The combined influence of recent enabling technologies such as Web 2.0, mobile app stores and improved wireless networks have driven the increase in online applications that allow users to access various types of information on mobile devices regardless of time and location. Examples of such applications (usually shortened to app) include: social media, such as FacebookTM App and TwitterTM App, banking applications such as (Standard Bank South Africa)TM Mobile Banking App and First National Bank (FNB) BankingTM App, and news application such as news 24TM App and BBCTM News App. Online businesses involved in buying, selling and business transaction processing activities via the Internet have exploited the opportunity to extend electronic commerce (e-commerce) initiatives into mobile commerce (m-commerce). Online businesses that interact with end user customers implement business to consumer (B2C) m-commerce applications that enable customers to access and browse product catalogue information on mobile devices, anytime, anywhere. Customers accessing electronic product catalogue information on a mobile device face a number of challenges such as a long list of products presented on a small screen and a longer information download time. These challenges mainly originate from the limiting and dynamic nature of the mobile apps operating environment, for example, dynamic location, bandwidth fluctuations and, diverse and limited device features, collectively referred to as context. The goal of this research was to design and implement a context-aware model that can be incorporated into an m-commerce application in order to improve the presentation of product catalogue information on m-commerce storefronts. The motivation for selecting product catalogue is prompted by literature which indicates that improved presentation of information in m-commerce (and e-commerce) applications has a positive impact on usability of the websites. Usable m-commerce (and e-commerce) websites improve efficiency in consumer behaviour that impacts sales, profits and business growth. The context-aware model aimed at collecting context information within the user environment and utilising it to determine optimal retrieval and presentation of product catalogue in m-commerce. An integrated logical context sensor and Mathematical algorithms were implemented in the context-aware model. The integrated logical context sensor was responsible for the collection of different types of predetermined context information such as device specification or capabilities, connection bandwidth, location and time of the day as well as the user profile. The algorithms transformed the collected context information into usable formats and enabled optimal retrieval and presentation of product catalogue data on a specific mobile device. Open-source implementation tools were utilised to implement components of the model including: HTML5, PhP, JavaScript and MySQL database. The context-aware model was incorporated into an existing m-commerce application. Two user evaluation studies were conducted during the course of the research. The first evaluation was to evaluate the accuracy of information collected by the context sensor component of the model. This survey was conducted with a sample of 30 users from different countries across the world. In-between the context sensor and main evaluation surveys, a pilot study was conducted with a sample of 19 users with great experience in mobile application development and use from SAP Next Business and Technology, Africa. Finally an overall user evaluation study was conducted with a sample of 30 users from a remote area called Kgautswane in Limpopo Province, South Africa. The results obtained indicate that the context-aware model was able to determine accurate context information in real-time and effectively determine how much product information should be retrieved and how the information should be presented on a mobile device interface. Two main contributions emerged from the research, first the research contributed to the field of mobile Human Computer Interaction. During the research, techniques of evaluating and improving usability of mobile applications were demonstrated. Secondly, the research made a significant contribution to the upcoming field of context-aware computing. The research brought clarity with regard to context-aware computing which is lacking in existing, current research despite the field’s proven impact of improving usability of applications. Researchers can utilise contributions made in this research to develop further techniques and usable context-aware solutions

Consumer perceived benefits and value in apparel m-retail

Within the UK retail sector, fashion shopping via mobiles is one of the fastest developing forms of online retail, yet recent research has shown that apparel retailers have been slow to implement appropriate mobile platforms into overall marketing strategies, thereby failing to satisfy consumer expectations and missing opportunities emerging through this channel. This research analyses mobile apparel retail from the consumer’s perspective. The aim is to understand fashion shopping experiences via smartphones. Research questions relate to the benefits fashion consumers are seeking through mobile shopping channels, how consumers shop, why they use smartphones and what influences their decision-making process. Consequently, a theory of interactive relationship between m-retail and consumer purchase behaviour has been developed. A mixed methods approach was adopted guided by Grounded Theory methodology complemented by experimental work. It applied 200 questionnaires, 1,313 mobile app reviews, 23 eye tracking experiments involving websites, mobile apps and mobile websites, 6 focus group discussions and 8 case studies. A conceptual model of Essential Features of Mobile Channel (EFMC) was developed by triangulating data gathered from a range of sources: eye tracking experiments, mobile app reviews and focus groups. Case studies of commercial platforms, implementing 43 features of EFMC, were used to evaluate mobile websites and apps developed by apparel retailers. This research contributes to knowledge by developing a Benefits-Value Theory (BVT), which addresses the relationship between levels of benefits and their influence on shopping involvement, by examining the ways consumers perceive mobile platforms and respond with distinctive behaviours and attitudes. This conceptual framework devotes what companies are doing on mobile and what consumers think about it. BVT provides a base for fashion consumer segmentation. Consumer profiles have been developed to account for shifts in consumer behaviour led by mobile technologies. This research proposes a model for diagnosing the strengths and weaknesses of mobile platforms. Shopping journey and behaviour models establish how to segment the consumer base, capturing a complexity of their behaviours, by assigning value to fashion retail. This research helps apparel retailers to develop appropriate marketing strategies in m-retail focusing on maximizing customer benefits and satisfaction by fulfilling retailers’ value creation and delivery